Tabnine AI Code Assistant Training in Copenhagen, Denmark

This training is designed to help developers, team leads, and engineering managers understand and effectively use Tabnine, an AI-powered coding assistant that accelerates software development. The course covers setup, core features, best practices, and integration into daily coding workflows across various IDEs. Participants will learn how to leverage Tabnine for productivity, team collaboration, and secure code generation.

Introduction and Individual Use

Module 1: Introduction to Tabnine and AI Code Completion

• What is Tabnine and how it works
• How Tabnine differs from other AI code assistants
• Benefits of AI-based code completion in modern development

Module 2: Installation and Configuration

• Installing Tabnine in VS Code, IntelliJ, PyCharm, etc.
• Cloud vs local completion options
• Setting preferences, language support, and performance tuning

Module 3: Using Tabnine in Your Workflow

• Smart completions, inline suggestions, and whole-line generation
• Multilingual code support (Python, JavaScript, Java, etc.)
• Refactoring with Tabnine suggestions
• Example-driven coding and learning from AI recommendations

Team Collaboration and Best Practices

Module 5: Tabnine for Teams

• Overview of Tabnine Team Hub
• Creating and managing team models
• Sharing completions across a team
• Privacy and security considerations

Module 6: Productivity Workflows and Use Cases

• Tabnine in test-driven development
• Using Tabnine in agile sprint workflows
• Common use cases: boilerplate code, testing, config generation
• Reducing repetitive coding tasks

Module 7: Best Practices and Limitations

• Interpreting and validating AI-generated code
• Avoiding overreliance and ensuring code correctness
• Handling edge cases and security-sensitive code
• Ethical use of AI coding tools

Module 8: Final Exercises and Wrap-Up

• Q&A, wrap-up, and resource sharing for continuous use